The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index.
Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
Open accessAbstract
Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are radically transforming various aspects related to people, business, society, and the environment. With the proliferation of digital computing devices and the emergence of big data, AI is increasingly offering significant opportunities for society and business organizations. The growing interest of scholars and practitioners in AI has resulted in the diversity of research topics explored in bulks of scholarly literature published in leading research outlets. This study aims to map the intellectual structure and evolution of the conceptual structure of overall AI research published in Technological Forecasting and Social Change (TF&SC). This study uses machine learning-based structural topic modeling (STM) to extract, report, and visualize the latent topics from the AI research literature. Further, the disciplinary patterns in the intellectual structure of AI research are examined with the additional objective of assessing the disciplinary impact of AI. The results of the topic modeling reveal eight key topics, out of which the topics concerning healthcare, circular economy and sustainable supply chain, adoption of AI by consumers, and AI for decision-making are showing a rising trend over the years. AI research has a significant influence on disciplines such as business, management, and accounting, social science, engineering, computer science, and mathematics. The study provides an insightful agenda for the future based on evidence-based research directions that would benefit future AI scholars to identify contemporary research issues and develop impactful research to solve complex societal problems.
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Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611 · cited 4×
“This study is well-timed given the rapid expansion of AI in business transformation, societal transfiguration, and evolution in human behavior (Duan et al., 2019; Dwivedi et al., 2021; Kopka and Grashof, 2022).”
BackgroundInfluentialSelf-citationDwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102642 · Cited by 4,584
Self-citationDwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102542 · Cited by 2,753
Self-citationDuan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.021 · Cited by 2,628 · cited 3×
“This study is well-timed given the rapid expansion of AI in business transformation, societal transfiguration, and evolution in human behavior (Duan et al., 2019; Dwivedi et al., 2021; Kopka and Grashof, 2022).”
BackgroundSelf-citationstm : An R Package for Structural Topic Models
Roberts, M. E., Stewart, B. M., & Tingley, D. (2019) · Journal of Statistical Software · doi:10.18637/jss.v091.i02 · Cited by 1,714
Wang, Y., Kung, L., & Byrd, T. A. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.12.019 · Cited by 1,571
Artificial intelligence and innovation management: A review, framework, and research agenda✰
Haefner, N., Wincent, J., Parida, V., & Gassmann, O. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120392 · Cited by 1,073
Bag, S., Pretorius, J. H. C., Gupta, S., & Dwivedi, Y. K. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120420 · Cited by 910
Self-citationCan big data and predictive analytics improve social and environmental sustainability?
Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Luo, Z., Wamba, S. F., & Roubaud, D. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.06.020 · Cited by 860
Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model
Chatterjee, S., Rana, N. P., Dwivedi, Y. K., & Baabdullah, A. M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120880 · Cited by 825
Self-citation
Cited by
Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & Malik, T. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123076 · Cited by 317
Self-citationBelow average ChatGPT performance in medical microbiology exam compared to university students
Sallam, M., & Al-Salahat, K. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1333415 · Cited by 39
Hautamäki, P., & Heikinheimo, M. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115396 · Cited by 31
Emerging Dynamics of ChatGPT in Academia: A Scoping Review
Mahrishi, M., Abbas, A., Radovanović, D., & Hosseini, S. (2024) · Journal of University Teaching and Learning Practice · doi:10.53761/b182ws13 · Cited by 28
AI adoption in healthcare organizations: Spheres of development and the virtue of visible value
Duus, R., Cooray, M., & Lilley, S. (2026) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2026.124541 · Cited by 3
Metadata
- Authors
- Dwivedi, Y. K., Sharma, A., Rana, N. P., Giannakis, M., Goel, P., & Dutot, V.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2023-07
- Volume
- 192
- Pages
- 122579
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W4366780972
- Cited by
- 353
- References
- 135
- FWCI
- 64.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Dwivedi, Y. K., Sharma, A., Rana, N. P., Giannakis, M., Goel, P., & Dutot, V. (2023). Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2023.122579
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
